Skip to content
Open access

Quantum-Assisted Cross-Layer Intrusion Detection and Distributed-AI-Driven (QSec-DAI) Active Attribution of Insider and Man-in-the-Middle Attacks in Cooperative Sensing

Aug 2026 · Electronics · Vol 15, pp. 3620 · 0 citations · 38 references

TL;DR

The quantum component is presented as one resource-constrained strong-authentication option rather than as a source of quantum-enhanced anomaly detection, indicating that several classical defenses suppress attacks mainly by discarding cooperative information rather than by preserving useful cooperation.

Abstract

Cooperative sensing systems that exchange state estimates are exposed to two types of adversaries, namely, insiders who transmit correctly authenticated falsified content and outsiders who modify messages in transit after compromising a symmetric link key, each requiring a distinct mitigation strategy. These attacks are observationally identical to a detector that examines only message content, although an insider must be revoked and an outsider must be countered through key rotation and link hardening. To distinguish between insider falsification and outsider in-transit message modification, a cross-layer intrusion detection and attack-attribution framework named QSec-DAI is proposed. Per-message anomaly scores are supplied by a recurrent detector, and a hybrid-symmetric, post-quantum and quantum authentication stack is arbitrated by belief-desire-intention agents under a finite-key budget. Authentication is used as an active probe because a suspicious link is hardened, and the persistence or disappearance of the anomaly is then observed. On real cooperative-localization data, an area under the receiver operating characteristic curve of 0.981 is achieved. Benign, insider and outsider classes are attributed with a macro-averaged accuracy of 0.794 and a man-in-the-middle recall of 0.719. Under the explicitly defined attribution mapping, outsider recall is zero for the evaluated baselines that remain in fixed-symmetric mode after key exposure. In the real-data evaluation, malicious influence on fusion is limited to 0.10 percent. The no-cooperation control indicates that several classical defenses suppress attacks mainly by discarding cooperative information rather than by preserving useful cooperation. Protocol-level fault injection shows that replay is rejected while monotonic freshness state is intact, whereas compromise of the verifier or of all independent strong credentials removes defensible outsider identifiability. The quantum component is therefore presented as one resource-constrained strong-authentication option rather than as a source of quantum-enhanced anomaly detection.

Read PDF

Similar papers

Conference Aug 2026

An Energy-Adaptive Event-Driven Hybrid Trust Framework for Detection of Man-In-The-Middle Attacks in Wireless Sensor Networks

In wireless sensor networks (WSNs) and edge computing architectures for cyber-physical systems, Man-in-the-Middle (MIM) routing attacks present a severe security vulnerability. While continuous per-packet cryptographic encryption guarantees payload integrity, it exhausts node battery resources due to heavy computationa...

P. K, U. J · 0 citations
Open access Aug 2026

Blockchain-anchored multi-discriminator GAN architecture for real-time zero-day attack detection in social IoT edge networks with explainable audit trails

BMG-Sentinel is presented, a multi-discriminator GAN architecture that combines a synthetic edge-traffic generator; three complementary discriminators reasoning over signature, behavioural and topological evidence; a permissioned Hyperledger Fabric ledger that records threshold-signed on-chain detection digests while p...

S. Kanawade, N. Deshpande, Shilpa Gite et al. · 0 citations
Conference Open access Sep 2026

AI-ENHANCED DETECTION OF ARP SPOOFING-BASED MAN-IN-THE-MIDDLE ATTACKS IN LOCAL AREA NETWORKS

A hybrid LAN protection architecture that combines DAI with an AI-based behavioral detection module to improve the identification of stealthy and context-dependent MitM activity is proposed and indicates that AI can effectively complement traditional infrastructure-level network defenses by providing behavioral awarene...

Penka Markova, Georgi A. Markov · 0 citations
Open access Aug 2026

AERO-GUARD: A Post-Quantum Mutual Authentication Drone Protocol with Homomorphic Encryption for Secure Road Surveillance in Smart Cities

Formal verification results demonstrate that AERO-GUARD satisfies the targeted security properties, including mutual authentication, secrecy preservation, and replay resistance, confirming the protocol’s resilience against common authentication attacks.

Albandari Alsumayt, Arwa Almalki, Reema Almassary et al. · 0 citations
#artificial intelligence Preprint Aug 2026

A Non-Invasive Cloud-Based Migration Strategy for Post-Quantum Cybersecurity in Smart HVAC Systems: Architecture, Implementation, and Empirical Evaluation

A non-invasive PQC proxy, requiring no device, firmware, or vendor-cloud changes, performing ML-KEM-768 encapsulation and ML-DSA-65 authentication (NIST FIPS 203/204) with AES-256-GCM session keys via HKDF, implemented with Open Quantum Safe liboqs on a Raspberry Pi 4B gateway.

Mahedee Zaman Moon, Kaysarul Anas Apurba, Mahamudul Hasan et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.